The speaker discusses a new machine learning specialization on Coursera, emphasizing its comprehensive content, hands-on approach, and the instructor, Andrew Ng. They cover the course structure, programming assignments, and the importance of prior knowledge in Python and basic math. The speaker recommends the course for data analysts, scientists, and newcomers to machine learning, citing its value for career growth. They also suggest supplementary materials and emphasize the need for note-taking. The speaker provides a link to the course and encourages viewers to subscribe for more content.
1. The text discusses the concept of machine intelligence, stating that it is the last invention humanity will ever need to make.
2. The speaker notes that while machines have not become sentient as some people claimed, this area of study is progressing very fast and has achieved many breakthroughs.
3. The demand for machine learning engineers, NLP scientists, and data scientists is increasing.
4. A new machine learning specialization has been launched on Coursera.
5. The specialization is divided into three courses, each covering different aspects of machine learning.
6. The first course introduces supervised machine learning, including regression and classification problems.
7. The second course delves into advanced learning algorithms, including neural networks and how to train them in TensorFlow.
8. The third course covers unsupervised learning, including clustering, anomaly detection, and recommended systems.
9. The specialization is taught by Andrew Ng and is created in partnership with Deep Learning.ai and Stanford University.
10. The specialization uses Python for programming assignments and covers a broad introduction to modern machine learning.
11. The specialization also includes important changes and updates to the old course, such as using Python instead of Octave or Matlab for programming assignments and adding dozens of additional code notebooks and interactive graphs.
12. The specialization is completely online, with weekly video lectures, quizzes, and Python programming assignments.
13. The subscription fee for the specialization is about 46 euros per month.
14. The specialization requires some Python programming skills and basic knowledge of math and statistics to fully understand advanced machine learning concepts.
15. Despite some concerns about the specialization's beginner-friendly statement and lack of coverage of topics like model explainability and fairness, the speaker recommends it as a good value for the investment of time and money.
16. The speaker suggests that learners of the specialization also consider reading books like "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" and the batch newsletters by Andrew Ng for a deeper understanding of machine learning.
17. The course covers a huge amount of theories, so taking notes will save time revising the content later.